Fuzzy multi-objective programming: A systematic literature review
Multi-objective programming is commonly used in the literature when conflicted objectives
arise in solving optimization problems. Over the past decades, classical optimization …
arise in solving optimization problems. Over the past decades, classical optimization …
An exact method for solving multi-objective integer indefinite quadratic programs
This article tackles the optimization of a multi-objective integer indefinite quadratic
maximization problem. The proposed algorithm for this class of nonlinear multi-objective …
maximization problem. The proposed algorithm for this class of nonlinear multi-objective …
A taxonomy and review of the multi-objective fractional programming (MOFP) problems
Optimizing the ratios within the constraints is called fractional programming or ratio
optimization problem. If one can optimize several ratios objectives simultaneously, then it is …
optimization problem. If one can optimize several ratios objectives simultaneously, then it is …
Joint D2D group association and channel assignment in uplink multi-cell NOMA networks: A matching-theoretic approach
This paper studies joint device-to-device (D2D) group association and channel assignment
in uplink multi-cell non-orthogonal multiple-access (NOMA) networks. Particularly, the goal …
in uplink multi-cell non-orthogonal multiple-access (NOMA) networks. Particularly, the goal …
[PDF][PDF] A seventh bibliography of fractional programming
IM Stancu-Minasian - Adv. Model. Optim, 2013 - camo.ici.ro
This paper lists in alphabetical order by the name of the first author, 745 papers dealing with
fractional programming and its applications. This covers mainly the period 2005-2012 but it …
fractional programming and its applications. This covers mainly the period 2005-2012 but it …
Fuzzy efficient iterative method for multi-objective linear fractional programming problems
Various algorithms have been developed for the solution of Multi-objective linear fractional
programming problems. An iterative approach is suggested by Valipour et al.(2014). Further …
programming problems. An iterative approach is suggested by Valipour et al.(2014). Further …
An indefinite quadratic optimization over an integer efficient set
In this paper, a new exact method is proposed for solving the maximization problem, say, of
an indefinite quadratic utility function over the efficient set of a multi-objective integer linear …
an indefinite quadratic utility function over the efficient set of a multi-objective integer linear …
Resource allocation for NOMA-based multicast cognitive radio networks with energy-harvesting relays
MW Baidas, MR Amini - Physical Communication, 2020 - Elsevier
This paper studies the problem of joint relay selection and power allocation (J-RS-PA) for
non-orthogonal multiple-access (NOMA)-based multicast cognitive radio networks with …
non-orthogonal multiple-access (NOMA)-based multicast cognitive radio networks with …
Solving fractional programming problem through fuzzy goal setting and approximation
YZ Mehrjerdi - Applied Soft Computing, 2011 - Elsevier
It is the purpose of this article to introduce a linear approximation technique for solving a
fractional stochastic programming problem. For this purpose, a fuzzy goal programming …
fractional stochastic programming problem. For this purpose, a fuzzy goal programming …
Joint relay assignment and energy‐efficiency maximization in energy‐harvesting downlink/uplink clustered nonorthogonal multiple‐access networks
MW Baidas - Transactions on Emerging Telecommunications …, 2020 - Wiley Online Library
In this article, the problem of joint relay assignment and energy‐efficiency maximization (J‐
RA‐EE‐MAX) in energy‐harvesting downlink (DL) and uplink (UL) clustered nonorthogonal …
RA‐EE‐MAX) in energy‐harvesting downlink (DL) and uplink (UL) clustered nonorthogonal …